# Tanu-N-Prabhu/Python

This repository helps you learn Python and Machine Learning from scratch.

Repository: https://github.com/Tanu-N-Prabhu/Python
Canonical: https://ross.abutalabs.com/products/tanu-n-prabhu-python
Homepage: https://github.com/Tanu-N-Prabhu
Language: Jupyter Notebook
License Family: other
Topics: python, jupyter-notebook, pandas-dataframe, numpy, python3, python-3, numpy-arrays, data, datascraping, dataanalysis, google-colab, google-colab-notebook, machine-learning, prediction, data-analysis, data-visualization, machine-learning-algorithms
Last push: 2026-08-26T00:59:28+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 60, longevity 100
- inputs: {"age_days": 2685, "days_push": 8, "days_rel": 186, "gap_med": 31.5, "n_releases_24m": 5}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2231, forks 929 (observed 2026-08-28T04:06:29.115789+00:00)

## What it is
A collection of Jupyter notebooks and tutorials for learning Python, data science, and machine learning from scratch. It covers topics like pandas, NumPy, data analysis, data visualization, and web scraping, runnable in Google Colab.

## Use cases
- learn python from scratch
- learn machine learning basics
- practice pandas and numpy with notebooks
- learn data analysis and visualization
- get started with google colab notebooks
- beginner tutorials for data scraping

## When to choose
- you are a beginner wanting structured Python and ML notebooks
- you prefer hands-on Jupyter/Colab examples over formal courses
- you want free self-paced learning material for data science fundamentals

## When to avoid
- you need production-ready code or a maintained library
- you require a permissively licensed codebase (no license is provided)
- you need advanced or state-of-the-art machine learning techniques

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, machine-learning, data-visualization, web-scraping
- domain: education, data-science, machine-learning, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, pandas, numpy, google-colab, beginner-friendly, self-learning

## Member repositories
- Tanu-N-Prabhu/Python (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.115789+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:25.453046+00:00, confidence not recorded.
  - readme: https://github.com/Tanu-N-Prabhu/Python (fetched 2026-08-28T04:06:29.115789+00:00, sha fd42202ffb8b)
  - homepage: https://github.com/Tanu-N-Prabhu (fetched 2026-08-29T10:25:13.616136+00:00, sha d7aef2293215)
- Data as of 2026-08-30T08:39:29.467469+00:00.